| 基于支持向量机的车内噪声声品质预测 |
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| 引用本文： | 申秀敏,左曙光,韩乐.基于支持向量机的车内噪声声品质预测[J].振动．测试与诊断,2011,31(1):55-58. |
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| 作者姓名： | 申秀敏 左曙光 韩乐 |
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| 作者单位： | 1. 中国汽车工程研究院汽车NVH及安全控制国家重点实验室,重庆,400039
2. 同济大学新能源汽车工程中心,上海,201804 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 提出了采用支持向量机的车内噪声声品质预测方法,对采集的车内噪声样本采用基于小样本理论的支持向量机回归方法,建立车内噪声声品质客观评价参量与主观评价结果的关系模型对车内噪声声品质进行预测.实例分析表明,选取适当的车内噪声声品质客观评价参量,利用支持向量机回归方法建立的车内噪声声品质预测模型的预测精度较高.
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| 关 键 词： | 支持向量机 车内噪声 声品质 预测模型 |
| 收稿时间： | 2009/3/11 0:00:00 |
| 修稿时间： | 2009/9/17 0:00:00 |
Interior Vehicle Noise Quality Prediction Using Support Vector Machines |
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| Shen Xiumin,Zuo Shuguang,Han Le,He Lüchang,Zhang Shiwei,Li Lin.Interior Vehicle Noise Quality Prediction Using Support Vector Machines[J].Journal of Vibration,Measurement & Diagnosis,2011,31(1):55-58. |
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| Authors: | Shen Xiumin Zuo Shuguang Han Le He Lüchang Zhang Shiwei Li Lin |
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| Affiliation: | Shen Xiumin1,Zuo Shuguang2,Han Le2,He Lü chang2,Zhang Shiwei2,Li Lin2(1China Automobile Engineering Research State Key Laboratory of Vehicle NVHand Safety Control Chongqing,400039,China)(2Clean Energy Automotive Engineering Center,Tongji University Shanghai,201804,China) |
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| Abstract: | After summarizing the regression problem,the support vector machine (SVM) theory and the study of interior vehicle noise quality,this paper presented a method for prediction of interior vehicle noise quality based on SVM.A model of correlation between objective assessment parameters of noise quality and subjective evaluation results was established by using the support vector machine regression.By selecting appropriate objective assessment parameters of noise quality,the model has a high accuracy of predict... |
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| Keywords: | support vector machines interior vehicle noise noise quality predict model |
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